{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "# Comparing anomaly detection algorithms for outlier detection on toy datasets\n",
    "\n",
    "\n",
    "This example shows characteristics of different anomaly detection algorithms\n",
    "on 2D datasets. Datasets contain one or two modes (regions of high density)\n",
    "to illustrate the ability of algorithms to cope with multimodal data.\n",
    "\n",
    "For each dataset, 15% of samples are generated as random uniform noise. This\n",
    "proportion is the value given to the nu parameter of the OneClassSVM and the\n",
    "contamination parameter of the other outlier detection algorithms.\n",
    "Decision boundaries between inliers and outliers are displayed in black\n",
    "except for Local Outlier Factor (LOF) as it has no predict method to be applied\n",
    "on new data when it is used for outlier detection.\n",
    "\n",
    "The :class:`sklearn.svm.OneClassSVM` is known to be sensitive to outliers and\n",
    "thus does not perform very well for outlier detection. This estimator is best\n",
    "suited for novelty detection when the training set is not contaminated by\n",
    "outliers. That said, outlier detection in high-dimension, or without any\n",
    "assumptions on the distribution of the inlying data is very challenging, and a\n",
    "One-class SVM might give useful results in these situations depending on the\n",
    "value of its hyperparameters.\n",
    "\n",
    ":class:`sklearn.covariance.EllipticEnvelope` assumes the data is Gaussian and\n",
    "learns an ellipse. It thus degrades when the data is not unimodal. Notice\n",
    "however that this estimator is robust to outliers.\n",
    "\n",
    ":class:`sklearn.ensemble.IsolationForest` and\n",
    ":class:`sklearn.neighbors.LocalOutlierFactor` seem to perform reasonably well\n",
    "for multi-modal data sets. The advantage of\n",
    ":class:`sklearn.neighbors.LocalOutlierFactor` over the other estimators is\n",
    "shown for the third data set, where the two modes have different densities.\n",
    "This advantage is explained by the local aspect of LOF, meaning that it only\n",
    "compares the score of abnormality of one sample with the scores of its\n",
    "neighbors.\n",
    "\n",
    "Finally, for the last data set, it is hard to say that one sample is more\n",
    "abnormal than another sample as they are uniformly distributed in a\n",
    "hypercube. Except for the :class:`sklearn.svm.OneClassSVM` which overfits a\n",
    "little, all estimators present decent solutions for this situation. In such a\n",
    "case, it would be wise to look more closely at the scores of abnormality of\n",
    "the samples as a good estimator should assign similar scores to all the\n",
    "samples.\n",
    "\n",
    "While these examples give some intuition about the algorithms, this\n",
    "intuition might not apply to very high dimensional data.\n",
    "\n",
    "Finally, note that parameters of the models have been here handpicked but\n",
    "that in practice they need to be adjusted. In the absence of labelled data,\n",
    "the problem is completely unsupervised so model selection can be a challenge.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import time\n",
    "\n",
    "import numpy as np\n",
    "import matplotlib\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "from sklearn import svm\n",
    "from sklearn.datasets import make_moons, make_blobs\n",
    "from sklearn.covariance import EllipticEnvelope\n",
    "from sklearn.ensemble import IsolationForest\n",
    "from sklearn.neighbors import LocalOutlierFactor"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Example settings"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "matplotlib.rcParams['contour.negative_linestyle'] = 'solid'\n",
    "\n",
    "# Example settings\n",
    "n_samples = 300\n",
    "outliers_fraction = 0.15\n",
    "n_outliers = int(outliers_fraction * n_samples)\n",
    "n_inliers = n_samples - n_outliers"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# define outlier/anomaly detection methods to be compared"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "anomaly_algorithms = [\n",
    "    (\"Robust covariance\", EllipticEnvelope(contamination=outliers_fraction)),\n",
    "    (\"One-Class SVM\", svm.OneClassSVM(nu=outliers_fraction, kernel=\"rbf\",\n",
    "                                      gamma=0.1)),\n",
    "    (\"Isolation Forest\", IsolationForest(contamination=outliers_fraction,\n",
    "                                         random_state=42)),\n",
    "    (\"Local Outlier Factor\", LocalOutlierFactor(\n",
    "        n_neighbors=35, contamination=outliers_fraction))]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Define datasets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "blobs_params = dict(random_state=0, n_samples=n_inliers, n_features=2)\n",
    "datasets = [\n",
    "    make_blobs(centers=[[0, 0], [0, 0]], cluster_std=0.5,\n",
    "               **blobs_params)[0],\n",
    "    make_blobs(centers=[[2, 2], [-2, -2]], cluster_std=[0.5, 0.5],\n",
    "               **blobs_params)[0],\n",
    "    make_blobs(centers=[[2, 2], [-2, -2]], cluster_std=[1.5, .3],\n",
    "               **blobs_params)[0],\n",
    "    4. * (make_moons(n_samples=n_samples, noise=.05, random_state=0)[0] -\n",
    "          np.array([0.5, 0.25])),\n",
    "    14. * (np.random.RandomState(42).rand(n_samples, 2) - 0.5)]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Compare given classifiers under given settings"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 1872x1080 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "xx, yy = np.meshgrid(np.linspace(-7, 7, 150),\n",
    "                     np.linspace(-7, 7, 150))\n",
    "\n",
    "plt.figure(figsize=(len(anomaly_algorithms) * 2 + 3, 12.5))\n",
    "plt.subplots_adjust(left=.02, right=.98, bottom=.001, top=.96, wspace=.05,\n",
    "                    hspace=.01)\n",
    "\n",
    "plot_num = 1\n",
    "rng = np.random.RandomState(42)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 20 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for i_dataset, X in enumerate(datasets):\n",
    "    # Add outliers\n",
    "    X = np.concatenate([X, rng.uniform(low=-6, high=6,\n",
    "                       size=(n_outliers, 2))], axis=0)\n",
    "\n",
    "    for name, algorithm in anomaly_algorithms:\n",
    "        t0 = time.time()\n",
    "        algorithm.fit(X)\n",
    "        t1 = time.time()\n",
    "        plt.subplot(len(datasets), len(anomaly_algorithms), plot_num)\n",
    "        if i_dataset == 0:\n",
    "            plt.title(name, size=18)\n",
    "\n",
    "        # fit the data and tag outliers\n",
    "        if name == \"Local Outlier Factor\":\n",
    "            y_pred = algorithm.fit_predict(X)\n",
    "        else:\n",
    "            y_pred = algorithm.fit(X).predict(X)\n",
    "\n",
    "        # plot the levels lines and the points\n",
    "        if name != \"Local Outlier Factor\":  # LOF does not implement predict\n",
    "            Z = algorithm.predict(np.c_[xx.ravel(), yy.ravel()])\n",
    "            Z = Z.reshape(xx.shape)\n",
    "            plt.contour(xx, yy, Z, levels=[0], linewidths=2, colors='black')\n",
    "\n",
    "        colors = np.array(['#377eb8', '#ff7f00'])\n",
    "        plt.scatter(X[:, 0], X[:, 1], s=10, color=colors[(y_pred + 1) // 2])\n",
    "\n",
    "        plt.xlim(-7, 7)\n",
    "        plt.ylim(-7, 7)\n",
    "        plt.xticks(())\n",
    "        plt.yticks(())\n",
    "        plt.text(.99, .01, ('%.2fs' % (t1 - t0)).lstrip('0'),\n",
    "                 transform=plt.gca().transAxes, size=15,\n",
    "                 horizontalalignment='right')\n",
    "        plot_num += 1\n",
    "        \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}
